Forecasting the hydropower unit vibration based on adaptive variational mode decomposition and neural network

Lu, Zhaoheng; Tao, Ran; Xiao, Ruofu; Li, Puxi

doi:10.1016/j.asoc.2023.111040

Applied Soft Computing

2024

DOI: 10.1016/j.asoc.2023.111040

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Forecasting the hydropower unit vibration based on adaptive variational mode decomposition and neural network

Zhaoheng Lu,

Ran Tao,

Ruofu Xiao

et al.

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Cited by 5 publications

References 55 publications

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Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers

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Applied Soft Computing

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Tensor Poincaré plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units

Chen,

Ding,

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Reliability Engineering & System Safety

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Loads experienced by a Francis turbine during short and fast transient under part load operation

Zhou,

Dai,

Huang

et al. 2024

Physics of Fluids

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As hydropower is integrated into the renewable energy system, the turbine components are liable to many loads variation for regulation. The loads experienced under transient operation need to be accounted for and understood to develop adequate mitigation technique and strategies. To identify possible risks occurring during such short and fast transients, we investigate the nonlinear growth and time delay effects of pressure fluctuations, as well as the unsteady flow field evolution for a Francis turbine under load reduction in the part load regime. A two-stage transient process analytical framework is proposed via signal processing and vortex identification methods, including main transient and post-transient stages. In the main transient stage, the dominant frequency of pressure fluctuations within the draft tube shifts from 0.32·fn to 0.24·fn, accompanied by a fivefold increase in the amplitude. Furthermore, low-frequency pressure fluctuations in a wider range are identified (0–2·fn), source of possible resonance of power plant structures. The maximum pressure is reached in the post-transient stage after the end of the guide vane closure and is 50% larger than the maximum value in the main transient stage. When comparing the two components of pressure fluctuations within the draft tube, the synchronous component increases slowly but reaches the peak faster, which can be explained by the evolution of instantaneous vortex structure investigated with proper orthogonal decomposition. The findings are useful to ascertain possible risk factors along with the investigation of the evolution of non-stationary flow field in the context of frequent turbine load variations.

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Forecasting the hydropower unit vibration based on adaptive variational mode decomposition and neural network

Cited by 5 publications

References 55 publications

Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers

Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers

Tensor Poincaré plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units

Loads experienced by a Francis turbine during short and fast transient under part load operation

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